Triple
T21715604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JY13 |
E536018
|
entity |
| Predicate | codeNumberMeaning |
P145061
|
FINISHED |
| Object | 13 = sequential station number on Yamanote Line |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 13 = sequential station number on Yamanote Line | Statement: [JY13, codeNumberMeaning, 13 = sequential station number on Yamanote Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeNumberMeaning Context triple: [JY13, codeNumberMeaning, 13 = sequential station number on Yamanote Line]
-
A.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification code.
-
B.
countryCodeMeaning
Indicates the semantic meaning or description associated with a given country code.
-
C.
configurationCodeMeaning
Indicates the semantic meaning or interpretation associated with a given configuration code.
-
D.
regionCodeMeaning
Indicates that a region code is associated with its corresponding descriptive meaning or label.
-
E.
digitMeaning
Indicates that a particular digit symbol is associated with a specific numerical value or conceptual meaning.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:47 p.m.